Developer Advocate Cloud jobs at Mongodb

This role can be based out of San Francisco, Seattle, or remotely in the US region.

Leadership & Strategic Partnership Management

• Lead and mentor a team of Partner Solution Architects, cultivating strong relationships across the partner ecosystem
• Develop and execute strategic initiatives to align partner success with MongoDB’s objectives
• Collaborate with cross-functional teams (product, engineering, sales) to drive strategic business plans for partner engagement

Technical Enablement & Market Relevance

• Equip partners with knowledge and resources to ensure technical alignment and support go-to-market success
• Help partners understand and position MongoDB solutions to meet evolving market needs
• Serve as a trusted advisor, reinforcing MongoDB’s competitive advantage within the partner ecosystem

Business Development & Ecosystem Expansion

• Work closely with sales and marketing to identify ecosystem opportunities, driving joint business growth and expanding market reach
• Oversee the creation of co-branded solutions and proposals, supporting revenue targets and mutual alignment
• Address partner challenges by providing relevant business and technical solutions

Inclusive Leadership & Team Development

• Foster a high-performance, inclusive team culture focused on growth, mentorship, and diversity of thought
• Champion best practices in partner engagement and strategic planning, ensuring a supportive environment for all team members
• Build team agility to respond effectively to shifting market and partner dynamics

Cross-functional Collaboration & Communication

• Serve as a liaison between MongoDB’s internal teams and partners, providing timely updates and strategic insights
• Communicate complex concepts accessibly to ensure stakeholder alignment
• Represent MongoDB at events and forums, strengthening its reputation as a partner-centric organization

• 5+ years of experience in partner management, solution architecture, or related roles, with a strategic focus and at least 6-8 years in a leadership capacity
• Strong background in developing and executing strategies for partner engagement and success, ideally within technology or cloud environments
• Excellent relationship-building skills with an ability to engage and influence senior leaders across diverse partner organizations
• Strong communication and collaboration skills, with an ability to articulate both business and technical value to a wide range of audiences
• Commitment to inclusivity and fostering a diverse, equitable team environment
• Bachelor’s degree in Business, Computer Science, or a related field, or equivalent experience; advanced degree or relevant certifications are a plus
• Willingness to travel up to 30% to support partner engagement

• An opportunity to drive MongoDB’s impact within the rapidly growing partner ecosystem, shaping the future of data solutions across various industries
• Exposure to a dynamic, inclusive work environment that values diversity of experience, thought, and background
• A role in a mission-driven company that prioritizes professional growth, personal wellbeing, and societal impact

• Skilled at writing large-scale, distributed backend systems in a compiled language (Java, C#, Go, etc.)
• Fond of chasing down tough problems in a distributed systems environment
• Cool under pressure - has wrangled production crises, and secretly finds this a little fun
• Experienced with Linux, and able to correlate application performance problems with underlying hardware limits
• Comfortable working across the stack of a modern web application
• Always striving to expand their knowledge
• Curious, collaborative and intellectually honest

• Work closely with product teams, considering the user’s perspective while helping the team achieve success
• Collaborate with team members over best practices and core concepts
• Hold yourself accountable to your actions, maintaining the balance between accomplishing goals with research & development
• Own and adhere to them in your work
• Stay up to date with best practices in web engineering

A Senior Software Engineer will be successful in this role when they:

• Are open, honest and willing to contribute and collaborate with others
• Develop confidence in finding their way across the platform
• Can take responsibility for the planning and execution of a major feature, representing Engineering when working with Product and Design
• Are willing to learn and contribute to all parts of the stack
• Are resolute in their approach to problem solving, balancing the needs of their team with the willingness to get to the bottom of issues

This role will be based remotely in London.

In this role, you will:

• Embed deeply with strategic customers, gaining a thorough understanding of their business strategy, challenges and technical requirements within the context of AI
• Architect, design, and implement end-to-end AI solutions using an iterative, experiment-driven approach
• Scope projects, define deliverables, and create actionable plans for both rapid prototypes and enterprise-scale deployments
• Hands-on develop scalable, secure, and performant AI solutions, working side-by-side with customer engineering teams
• Prototype and iterate solutions leveraging MongoDB Atlas, cloud technologies, LLMs, and generative AI technologies
• Provide technical leadership to ensure architectural alignment, quality, and successful customer outcomes
• Actively engage with emerging AI technologies to stay ahead of trends, incorporating new insights into customer solutions
• Collaborate closely with our Sales teams, Solution Architects, Product, and wider Professional Services to deliver high-impact, scalable solutions that drive measurable business outcomes
• Contribute to internal knowledge sharing, creating resources, best practices, and reusable assets that scale the broader AI capability across MongoDB

• Have 5+ years of experience in software development, customer engineering, solution architecture, or similar roles, including at least 2 years dedicated to designing and implementing AI solutions
• Demonstrate a strong customer-centric approach and excellent communication skills, capable of clearly articulating complex technical solutions to diverse audiences
• Proficiency in building modern, full-stack applications with back end development in Python, Node.js, or Java, and front end development with frameworks like React, Angular or Next.js
• Understand and have implemented AI solutions like Retrieval-Augmented Generation (RAG) systems, and LLMs for real-world, real-time applications
• Have hands-on experience deploying scalable AI applications on cloud environments (AWS, Azure, GCP)
• Demonstrate deep understanding of modern development practices, including CI/CD, test-driven development, and microservices
• Demonstrable experience in rapidly evolving, high-uncertainty projects, turning ambiguous problems into clear, measurable solutions
• Are willing to travel up to 30% to engage directly with strategic customers

• Hold an advanced degree (MSc or PhD) in AI, Data Science, Machine Learning, or related fields
• Experience in R&D within the data science, AI/ML space especially around differing AI domains (agentic, discriminative, perceptual, conversational, reinforcement etc), data processing, optimisation, prompt engineering, model validation, model fine tuning and reranking
• Have knowledge of AI ethics, governance, and compliance frameworks
• Are proficient in additional languages such as French,Spanish, Italian, German, or Mandarin

As a Senior Technical Program Manager, you will partner with key Engineering, Product, and Product Design stakeholders to deliver critical services and features. You will begin with 1-2 key programs, aligned to time-bound goals, to steward to completion.

This role can be based out of our San Francisco and New York City offices or remotely in the United States.

• Experienced in managing technical projects and working with full stack development teams using a variety of project management techniques
• Experienced with 5+ years working in a technical capacity and/or in a project or program management role
• Capable of deep user empathy and adept at balancing product goals and engineering constraints to deliver impactful experiences
• Proficient in grasping the infrastructure of your program domain, and skilled at identifying the technical interfaces between teams
• Able to maintain a strategic view of our software engineering processes even while supporting and optimizing the operations of the team
• Inspired to innovate in areas where automation can replace manual work. The team works primarily with JIRA and Google Docs so programming proficiency with either or both tools is a plus
• Skilled at communicating across a diverse set of engineers and stakeholders
• Hyper-organized and capable of juggling all of the data associated with projects and task-tracking
• Knowledgeable of agile methodologies and experienced with implementing project management best practices
• Driven by an attuned sense of priority and urgency to ship features and achieve the right business outcomes
• Trained in working with project tracking software (e.g. JIRA, Rally, MS Project, Trello)
• Interested in learning everything about MongoDB

• Execute and improve the processes and tools that inform the daily life of engineering teams
• Drive coordination between product development teams and internal stakeholders to prioritize the team's backlog and plan its release roadmap
• Identify risks to the team's delivery, mitigating them where possible
• Own the data around the health of each team's project and ticket backlog
• Know when a project/team requires more hands-on management and know when it is time to operationalize and develop a process framework for the project and/or team(s)
• Promote a culture of continuous improvement by conducting retrospectives to help identify areas of growth and learnings within and across teams
• Recognize patterns in a sea of information and take action accordingly
• Expand knowledge into new domains by consistently working to gain the requisite technical knowledge required to skillfully manage the complexities, dependencies, and risks associated with engineering projects

• Delivery against program goals
• Improvements and automations in team operations, including leveraging best practices from the TPM community

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, related fields or equivalent practical experience
• Demonstrated technical aptitude and strong analytical skills with proven results
• 5+ years industry experience as a program or engineering manager
• Effective written and verbal communication skills, with the ability to adapt style and delivery for a variety of audiences

This role can be based out of any office or remotely in North America.

• Hands-on experience with Python (or related language) programming experience in industry
• Solid experience and knowledge of testing techniques focused on distributed systems
• A demonstrated expertise of solid UX-focused design of CLIs for scalability and maintainability
• An appetite for continuous learning and improvement
• A strong interest in developer productivity or related infrastructural-focused role
• A deep empathy and eagerness to understand and solve customer problems
• A proven track record of ownership, from synthesizing use cases through to delivering solutions
• Experience working with remote teams

• Software ecosystems that contain and routinely run a large number of tests, from unit-level through end-to-end
• Database (or other large system) integration testing frameworks
• Test fuzzing
• C++, Java, and/or Go
• Sanitizers and other static analysis tooling
• Kubernetes and Containerization
• Software Architecture and Design Principles

• Design and develop critical features to evolve our test frameworks and tools
• Identify and resolve bugs within our test frameworks and tools
• Reduce technical debt through iterative, quality of life improvements
• Meaningfully contribute to cohesive strategies to enable the development organization to build with confidence using the right tool for the job
• Eagerness to learn and grow in a fast-paced environment, including leveraging supportive mentors
• Show deep empathy towards other developers to understand their pain points and provide impactful solutions
• Onboard quickly and successfully into unfamiliar tools and systems
• Collaborate productively with colleagues at all stages of project lifecycle (ideation, requirements gathering, design, execution, and delivery)

• Within 1 month, you will have completed several small engineering tasks. You will also have a very high-level understanding of the developer experience for the Server and Cloud teams at MongoDB
• Within 3 months, you will have core contributions to at least one feature. You will have a good understanding of the team's mission and goals
• In 6 months you will be confident in the space to jump into investigations, support colleagues looking for help, and drive 1-2 projects from launch-to-land

• 6+ years of professional software engineer experience with a strong focus on fullstack development
• Proven ability to build scalable, performance optimized, modern web applications using MongoDB, Node.js, TypeScript/JavaScript, and React
• Hands-on experience with unit testing (Cypress, Jest, Playwright, etc.)
• Experience integrating CI/CD pipelines, monitoring tools, and cloud infrastructure (AWS/GCP/Azure)
• Hands-on experience leveraging Kubernetes, Helm, and modern infrastructure-as-code tools
• Solid understanding of API Integrations and other kinds of service discovery mechanisms to build/maintain a robust service catalog
• Experience working within distributed systems and have designed highly-scalable systems across various projects
• Demonstrate sound engineering practices like continuous delivery and automated testing
• You have impact through your communication skills and can successfully partner with different engineering teams across domains such as product developers, platforms engineers and SREs, etc
• Comfortable writing and reviewing technical design documents and specifications

• Hands-on experience working with Backstage (by Spotify), including platform extensions, portal management, and integrating various systems and tools to make them available to end users
• Deep understanding of the Backstage architecture, including plugin development, software catalog, scaffolder, and TechDocs
• Bonus points if you have experience in using and applying large language models; Experience with AI application development is a plus

Upon successfully passing the preliminary screenings, candidates will be invited to participate in live coding assessments, followed by a system design evaluation, to determine the alignment of their technical proficiencies with the requirements of the role.

• In 3 months, you've gained a deep understanding of the Developer Productivity team ecosystem and build and deployment workflows
• In 6 months, you are successfully contributing to our projects, including deploying code to production and taking on troubleshooting issues and resolving bugs
• In 9 months, you are successfully leading aspects of the technical architecture and enhancement of our tech stack, and technical roadmaps for the teams
• In 12 months, you are successfully contributing to mentoring and growing other team members

• Be proficient in a statically typed, compiled language (we primarily use Go)
• Have solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture
• Have a track record of shipping systems in a Cloud environment, with proficiency in Kubernetes
• Have familiarity with managing cloud compute resources, such as virtual machines (ideally AWS EC2)
• Have familiarity with working with databases (ideally managing a noSQL database)
• Have familiarity with identifying performance and reliability bottlenecks in an existing software system, as well as identifying solutions and reliable measurements for future monitoring
• Be a helpful and thoughtful communicator with other engineers and stakeholders

• Scale our continuous integration ecosystem as it supports the needs of a growing engineering organization
• Support project owners and R&D Productivity teams by introducing functionality and simplifying existing functionality to streamline the testing process
• Propose well-reasoned features and solutions by incorporating user feedback, metrics, and company and department objectives.
• Incorporate AI tooling to improve support and developer experience

• In three months, you’ll have understood the high-level architecture of Evergreen and made contributions to the performance and reliability of our systems as well as features impacting our customers. You will be able to answer questions concerning the performance and operations of systems you have most actively worked on. You will be in discussions about next steps for larger projects to carry out.
• In six months, you will have led or been a major contributor on one or more substantial projects. You will be subject matter expert across most of our systems, able to understand how they are and are not interdependent, and will be able to answer questions about how they perform and operate. You will have also identified smaller architectural and operational improvements, especially by using your perspective and experience from outside MongoDB.
• In twelve months, You will regularly be initiating and leading technical projects and operational changes that have a substantial impact on our ability to deliver a smooth debugging and testing experience for the developers that use our products at MongoDB. You will be a strong technical resource across all of our systems as well as adjoining systems, and will be able to provide guidance about technical and operational direction across both. You will be responsible for mentoring newer and more junior members of the team, especially around concepts related to scaling and reliability.